Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged ; volume:24 ; number:1 ; day:23 ; month:5 ; year:2024 ; pages:1-11 ; date:12.2024
BMC public health ; 24, Heft 1 (23.5.2024), 1-11, 12.2024
- Klassifikation
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Soziale Probleme, Sozialdienste, Versicherungen
- Urheber
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Duvvuri, Venkata R.
Abdelrehim, Mona
Singhal, Sonica
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12889-024-18868-1
- URN
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urn:nbn:de:101:1-2408020947579.222387853910
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:52 MESZ
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Beteiligte
- Duvvuri, Venkata R.
- Abdelrehim, Mona
- Singhal, Sonica
- SpringerLink (Online service)
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